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Conference object . 2025
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Article . 2025
License: CC BY
Data sources: Datacite
ZENODO
Article . 2025
License: CC BY
Data sources: Datacite
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Optimal Planning Framework for Mitigating Cyber-Induced Cascading Failures in Power Grids

Authors: Venkatasubramanian, Balaji Venkateswaran; Hashemi, Sina; Wells, Linton; Blackmond Laskey, Kathryn; van de Lindt, John W.; Amir, Yair; Chiu, Imes; +1 Authors

Optimal Planning Framework for Mitigating Cyber-Induced Cascading Failures in Power Grids

Abstract

The growing digitization of power grids has increased their vulnerability to cyberattacks, potentially leading to widespread power outages. While many studies address cyber-induced outages, resulting cascading failures are often overlooked. This paper introduces a planning framework that employs cyber-physical measures to mitigate these disruptions. It generates a range of cyberattack scenarios, including denial of service (DoS) attack and load alter attacks (LAA) on substations while accounting for uncertainties. These cyberattacks can shift the grid's stable operating point, potentially triggering protection mechanisms and causing cascading failures. The impact of these failures is quantified using a cascading failure model that quantifies the demand not served. The framework integrates cyber-physical measures, including the optimal allocation of cyber reinforcement units (which may include components like phasor measurement units and other cyber-defense mechanisms) and energy storage systems to reduce cascading propagation. The framework's effectiveness in reducing cascading impacts is evaluated using the IEEE 39-bus system.

Keywords

cascading failures, power systems, cyber-attacks

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
Green